论文信息 - Modelling and identifying of transformer faults

Modelling and identifying of transformer faults

This paper introduces a novel modelling and identifying technique for the transformer internal faults. Transmission line method (TLM) is used for the modelling transformer internal faults with a linear and non-linear inductor model. Discrete wavelet transform (DWT) is used for identifying fault currents. The proposed techniques are simple to implement and provides a reliable and computationally efficient tool. Results for a range of simulated faults are used to compare the efficiency of DWT with conventional Fouier transforms. It is shown that it provides a more reliable fault discrimination algorithm than conventional methods.

O. Ozgonenel | C. Christopoulos | D.W.P. Thomas

[1] R. K. Aggarwal,et al. A Novel Approach to the Classification of the Transient Phenomena in Power Transformers Using Combined Wavelet Transform and Neural Network , 2001, IEEE Power Engineering Review.

[2] C. Christopoulos,et al. Discrete transform technique for solving nonlinear circuits and equations , 1992 .

[3] Arnulf Kost,et al. The Transmission Line Modelling Method (TLM) Applied to the Simulation of TEM Cells and Shielded Enclosures , 2006 .

[4] M. E. Hamedani Golshan,et al. A new method for recognizing internal faults from inrush current conditions in digital differential protection of power transformers , 2004 .

[5] T. Leibfried,et al. Monitoring of power transformers using the transfer function method , 1999 .

[6] M. Condon,et al. Time-domain modelling of power transformers using modal analysis , 1997 .

[7] Michel Meunier,et al. A transformer model for winding fault studies , 1994 .

[8] Truong Q. Nguyen,et al. Wavelets and filter banks , 1996 .

[9] Karen L. Butler-Purry,et al. Characterization of transients in transformers using discrete wavelet transforms , 2003 .

[10] Karen L. Butler-Purry,et al. Identifying transformer incipient events for maintaining distribution system reliability , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.